Citado por
Citado por
Semeval-2013 task 9: Extraction of drug-drug interactions from biomedical texts (ddiextraction 2013)
I Segura-Bedmar, P Martínez Fernández, M Herrero Zazo
Association for Computational Linguistics, 2013
The DDI corpus: An annotated corpus with pharmacological substances and drug–drug interactions
M Herrero-Zazo, I Segura-Bedmar, P Martínez, T Declerck
Journal of biomedical informatics 46 (5), 914-920, 2013
The CHEMDNER corpus of chemicals and drugs and its annotation principles
M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ...
Journal of cheminformatics 7 (1), 1-17, 2015
Using a shallow linguistic kernel for drug–drug interaction extraction
I Segura-Bedmar, P Martinez, C de Pablo-Sánchez
Journal of biomedical informatics 44 (5), 789-804, 2011
The 1st DDIExtraction-2011 challenge task: Extraction of Drug-Drug Interactions from biomedical texts
I Segura-Bedmar, P Martínez Fernández, D Sánchez Cisneros
Isabel Segura-Bedmar, Paloma Martínez, Daniel Sánchez-Cisneros, 2011
Comparing deep learning architectures for sentiment analysis on drug reviews
C Colón-Ruiz, I Segura-Bedmar
Journal of Biomedical Informatics 110, 103539, 2020
Lessons learnt from the DDIExtraction-2013 shared task
I Segura-Bedmar, P Martínez, M Herrero-Zazo
Journal of biomedical informatics 51, 152-164, 2014
A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents
I Segura-Bedmar, P Martínez, C de Pablo-Sánchez
BMC bioinformatics 12 (2), 1-11, 2011
Resolving anaphoras for the extraction of drug-drug interactions in pharmacological documents
I Segura-Bedmar, M Crespo, C de Pablo-Sánchez, P Martínez
BMC bioinformatics 11 (2), 1-9, 2010
Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction
V Suárez-Paniagua, I Segura-Bedmar
BMC bioinformatics 19, 39-47, 2018
Drug name recognition and classification in biomedical texts: a case study outlining approaches underpinning automated systems
I Segura-Bedmar, P Martínez, M Segura-Bedmar
Drug discovery today 13 (17-18), 816-823, 2008
Exploring Spanish health social media for detecting drug effects
I Segura-Bedmar, P Martínez, R Revert, J Moreno-Schneider
BMC medical informatics and decision making 15 (2), 1-9, 2015
Turning user generated health-related content into actionable knowledge through text analytics services
P Martínez, JL Martínez, I Segura-Bedmar, J Moreno-Schneider, A Luna, ...
Computers in Industry 78, 43-56, 2016
DINTO: using OWL ontologies and SWRL rules to infer drug–drug interactions and their mechanisms
M Herrero-Zazo, I Segura-Bedmar, J Hastings, P Martinez
Journal of chemical information and modeling 55 (8), 1698-1707, 2015
Detecting drugs and adverse events from Spanish social media streams
I Segura-Bedmar, R Revert, P Martínez
Proceedings of the 5th international workshop on health text mining and …, 2014
A two-stage deep learning approach for extracting entities and relationships from medical texts
V Suárez-Paniagua, RMR Zavala, I Segura-Bedmar, P Martínez
Journal of biomedical informatics 99, 103285, 2019
Exploring word embedding for drug name recognition
I Segura-Bedmar, V Suárez-Paniagua, P Martínez
Proceedings of the sixth international workshop on health text mining and …, 2015
Predicting of anaphylaxis in big data EMR by exploring machine learning approaches
I Segura-Bedmar, C Colon-Ruiz, MÁ Tejedor-Alonso, M Moro-Moro
Journal of biomedical informatics 87, 50-59, 2018
Pharmacovigilance through the development of text mining and natural language processing techniques
I Segura-Bedmar, P Martínez
Journal of biomedical informatics 58, 288-291, 2015
Simplifying drug package leaflets written in Spanish by using word embedding
I Segura-Bedmar, P Martínez
Journal of biomedical semantics 8 (1), 1-9, 2017
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20